Graph Theory: Advanced Algorithms and Applications
by Beril Sirmacek (ed.)
Publisher: InTech 2018
Number of pages: 196
Not only will the methods and explanations help you to understand more about graph theory, but I also hope you will find it joyful to discover ways that you can apply graph theory in your scientific field. The very basics of the theory and terms are not explained at the beginner level.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Jorgen Bang-Jensen, Gregory Gutin - Springer
Digraphs presents a comprehensive survey of the study of directed graphs. It covers theoretical aspects with detailed proofs, and some algorithms and applications. The essential textbook and reference for graduate students and researchers.
by Tero Harju - University of Turku
These are introductory lecture notes on graph theory. Contents: Introduction (Graphs and their plane figures, Subgraphs, Paths and cycles); Connectivity of Graphs; Tours and Matchings; Colourings; Graphs on Surfaces; Directed Graphs.
by Yanpei Liu - Kapa & Omega
As an introductory book, this book contains the elementary materials in map theory, including embeddings of a graph, abstract maps, duality, orientable and non-orientable maps, isomorphisms of maps and the enumeration of rooted or unrooted maps.
by David Joyner, Minh Van Nguyen, Nathann Cohen - Google Code
An introductory book on algorithmic graph theory. Theory and algorithms are illustrated using the Sage open source software. The text covers graph algorithms, trees and forests, distance and connectivity, optimal graph traversals, planar graphs, etc.